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For: Jahn SW, Plass M, Moinfar F. Digital Pathology: Advantages, Limitations and Emerging Perspectives. J Clin Med 2020;9:E3697. [PMID: 33217963 DOI: 10.3390/jcm9113697] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Santonicco N, Marletta S, Pantanowitz L, Fadda G, Troncone G, Brunelli M, Ghimenton C, Antonini P, Paolino G, Girolami I, Eccher A. Impact of mobile devices on cancer diagnosis in cytology. Diagn Cytopathol 2021. [PMID: 34677909 DOI: 10.1002/dc.24890] [Reference Citation Analysis]
2 Eloy C, Bychkov A, Pantanowitz L, Fraggetta F, Bui MM, Fukuoka J, Zerbe N, Hassell L, Parwani A. DPA-ESDIP-JSDP Task Force for Worldwide Adoption of Digital Pathology. J Pathol Inform 2021;12:51. [PMID: 35070480 DOI: 10.4103/jpi.jpi_65_21] [Reference Citation Analysis]
3 Gheban BA, Colosi HA, Gheban-Roșca IA, Georgiu C, Gheban D, Crişan D, Crişan M. Techniques for digital histological morphometry of the pineal gland. Acta Histochem 2022;124:151897. [PMID: 35468563 DOI: 10.1016/j.acthis.2022.151897] [Reference Citation Analysis]
4 Al‐jadiry MF, Uccini S, Testi AM, Moleti ML, Alsaadawi AR, Al‐darraji AF, Al‐saeed RM, Faraj Al‐badri S, Sabhan AH, Ghali HH, Fadhil SA, Abed WM, Ameen NA, Abed YS, Yousif FS, Abed AR, Hussein HM, Shkara AM, Piciocchi A, Mohamed S, Ruco L, Qaddoumi I, Al‐hadad SA. Comprehensive global collaboration in the care of 1182 pediatric oncology patients over 12 years: The Iraqi–Italian experience. Cancer Medicine. [DOI: 10.1002/cam4.4892] [Reference Citation Analysis]
5 Ramirez M, Courtoy G, Kharrat O, de Beukelaer M, Mourad N, Guiot Y, Bouzin C, Gianello P. Semi-automated digital quantification of cellular infiltrates for in vivo evaluation of transplanted islets of Langerhans encapsulated with bioactive materials. Xenotransplantation 2021;28:e12704. [PMID: 34218466 DOI: 10.1111/xen.12704] [Reference Citation Analysis]
6 Mottaghy FM, Hertel F, Beheshti M. Will we successfully avoid the garbage in garbage out problem in imaging data mining? An overview on current concepts and future directions in molecular imaging. Methods 2021;188:1-3. [PMID: 33592236 DOI: 10.1016/j.ymeth.2021.02.011] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Shi W, Georgiou P, Akram A, Proute MC, Serhiyenia T, Kerolos ME, Pradeep R, Kothur NR, Khan S. Diagnostic Pitfalls of Digital Microscopy Versus Light Microscopy in Gastrointestinal Pathology: A Systematic Review. Cureus 2021;13:e17116. [PMID: 34548958 DOI: 10.7759/cureus.17116] [Reference Citation Analysis]
8 Lea D, Gudlaugsson EG, Skaland I, Lillesand M, Søreide K, Søreide JA. Digital Image Analysis of the Proliferation Markers Ki67 and Phosphohistone H3 in Gastroenteropancreatic Neuroendocrine Neoplasms: Accuracy of Grading Compared With Routine Manual Hot Spot Evaluation of the Ki67 Index. Appl Immunohistochem Mol Morphol 2021;29:499-505. [PMID: 33758143 DOI: 10.1097/PAI.0000000000000934] [Reference Citation Analysis]
9 Buabbas AJ, Mohammad T, Ayed AK, Mallah H, Al-Shawaf H, Khalfan AM. Evaluating the success of the tele-pathology system in governmental hospitals in Kuwait: an explanatory sequential mixed methods design. BMC Med Inform Decis Mak 2021;21:229. [PMID: 34340685 DOI: 10.1186/s12911-021-01567-x] [Reference Citation Analysis]
10 Sanderson PA, Esnal-zufiaurre A, Arends MJ, Herrington CS, Collins F, Williams ARW, Saunders PTK. Improving the Diagnosis of Endometrial Hyperplasia Using Computerized Analysis and Immunohistochemical Biomarkers. Front Reprod Health 2022;4:896170. [DOI: 10.3389/frph.2022.896170] [Reference Citation Analysis]
11 Colling R, Colling H, Browning L, Verrill C. Validation of grading of non-invasive urothelial carcinoma by digital pathology for routine diagnosis. BMC Cancer 2021;21:995. [PMID: 34488682 DOI: 10.1186/s12885-021-08698-4] [Reference Citation Analysis]
12 Eloy C, Vale J, Curado M, Polónia A, Campelos S, Caramelo A, Sousa R, Sobrinho-Simões M. Digital Pathology Workflow Implementation at IPATIMUP. Diagnostics (Basel) 2021;11:2111. [PMID: 34829458 DOI: 10.3390/diagnostics11112111] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
13 Giansanti D. The Artificial Intelligence in Digital Pathology and Digital Radiology: Where Are We? Healthcare (Basel) 2020;9:30. [PMID: 33396215 DOI: 10.3390/healthcare9010030] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Kolinko Y, Malečková A, Kochová P, Grajciarová M, Blassová T, Kural T, Trailin A, Červenková L, Havránková J, Vištejnová L, Tonarová P, Moulisová V, Jiřík M, Zavaďáková A, Tichánek F, Liška V, Králíčková M, Witter K, Tonar Z. Using virtual microscopy for the development of sampling strategies in quantitative histology and design-based stereology. Anat Histol Embryol 2021. [PMID: 34806204 DOI: 10.1111/ahe.12765] [Reference Citation Analysis]
15 Aksac A, Demetrick DJ, Box A, Difrancesco L, Minoo P, Ozyer T, Rokne J, Alhajj R. CACTUS: A Digital Tool for Quality Assurance, Education and Evaluation in Surgical Pathology. J Med Biol Eng 2021;41:470-81. [DOI: 10.1007/s40846-021-00643-x] [Reference Citation Analysis]
16 McCombe KD, Craig SG, Viratham Pulsawatdi A, Quezada-Marín JI, Hagan M, Rajendran S, Humphries MP, Bingham V, Salto-Tellez M, Gault R, James JA. HistoClean: Open-source software for histological image pre-processing and augmentation to improve development of robust convolutional neural networks. Comput Struct Biotechnol J 2021;19:4840-53. [PMID: 34522291 DOI: 10.1016/j.csbj.2021.08.033] [Reference Citation Analysis]
17 Ghezloo F, Wang P, Kerr KF, Brunyé TT, Drew T, Chang OH, Reisch LM, Shapiro LG, Elmore JG. An Analysis of Pathologists’ Viewing Processes as They Diagnose Whole Slide Digital Images. Journal of Pathology Informatics 2022. [DOI: 10.1016/j.jpi.2022.100104] [Reference Citation Analysis]
18 Pettersen HS, Belevich I, Røyset ES, Smistad E, Simpson MR, Jokitalo E, Reinertsen I, Bakke I, Pedersen A. Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology. Front Med 2022;8:816281. [DOI: 10.3389/fmed.2021.816281] [Reference Citation Analysis]
19 Subramanian H, Subramanian S. Improving Diagnosis through Digital Pathology: A Proof-of-concept Implementation using Smart Contracts and Decentralized file storage (IPFS) (Preprint). Journal of Medical Internet Research. [DOI: 10.2196/34207] [Reference Citation Analysis]
20 El Naqa I, Li H, Fuhrman J, Hu Q, Gorre N, Chen W, Giger ML. Lessons learned in transitioning to AI in the medical imaging of COVID-19. J Med Imaging (Bellingham) 2021;8:010902-10902. [PMID: 34646912 DOI: 10.1117/1.JMI.8.S1.010902] [Reference Citation Analysis]
21 Montezuma D, Monteiro A, Fraga J, Ribeiro L, Gonçalves S, Tavares A, Monteiro J, Macedo-Pinto I. Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities. Diagnostics (Basel) 2022;12:529. [PMID: 35204617 DOI: 10.3390/diagnostics12020529] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]